Category: Electronic

A few months ago, I started playing with the Bela board. At the time, I had issues compiling Audio ToolKit with clang. Since then and thanks to Travis-CI, I figured out what was going on. Unfortunately, the Beagle Board doesn’t have complete C++11 support, so I’ve added the remaining pieces, and you need also a new Boost.

I have now some time to play with this baby:Beagleboard with Bela extension
The CPU may not be blazingly fast, but I hope I can still do something with it. The goal of this series will be to try different algorithms and see how they behave on the platform.

When I started reviewing the diode clippers, the goal was to end up modeling a triode simple preamp. Thanks to Ivan Cohen from musical entropy, I’ve finally managed to drive the proper equation system to model this specific type of preamp.

There are so many different distortion/overdrive/fuzz guitar pedals, and some have a better reputation than other. Two of them have a reputation of being closed (one copied on the other), and I already explained how one of these could be modeled (and I have a plugin with it!). So let’s work on comparing the SD1 and the TS9.

So the idea is to ask my readers what they actually want. I can explain how the new triodes filters are implemented, how they behave, but I can also add new filters in Audio Toolkit (based on different preamp and amp stages, dedicated to guitars, bass, other instruments), try to optimize them, and finally I can include them in new plugins that could be used by users. Or I can do something completely different.

Update: It seems I have misunderstood the DK method, so instead I’m using a variation of the Nodal Analysis, so this can be understood as a state-space MNA method.

When analyzing a circuit form scratch, we need to replace all capacitors by an equivalent circuit and solve the equation with this modified circuit. Then, the equivalent currents need to be updated with the proper formula.

Now that we have a few methods, let’s try to simulate them. For both circuits, I’ll use the forward Euler, then backward Euler and trapezoidal approximations, then I will show the results of changing the start estimate and then finish by the Newton Raphson optimization. I haven’t checked (yet?) algorithms that don’t use the derivative like the bisection or Brent algorithm.

All graphs are done with a x4 oversampling (although I also tried x8, x16 and x32).